An image coder based on the singular value decomposition and vector quantization is presented. The singular values and singular vectors of image sub-blocks are computed at the encoder and quantized using a novel varia...
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An image coder based on the singular value decomposition and vector quantization is presented. The singular values and singular vectors of image sub-blocks are computed at the encoder and quantized using a novel variable bit-rate coding scheme. The performance of the coder is assessed by computer simulations.
The identification of centers of clustering is of interest in many areas of applications. In this study, it is argued that stochastic geometry models are helpful both in providing models for clustering and as a prior ...
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The identification of centers of clustering is of interest in many areas of applications. In this study, it is argued that stochastic geometry models are helpful both in providing models for clustering and as a prior distribution to combat overestimation of the number of clusters and to improve robustness.
The objective of this study is to further understand how humans process and recognise faces. This will be done by proceeding in parallel with testing subjects and building computer models. Finally, the use of various ...
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The objective of this study is to further understand how humans process and recognise faces. This will be done by proceeding in parallel with testing subjects and building computer models. Finally, the use of various forms of imageprocessing.to see whether they correlate with human perception of distinctiveness, memorability and familiarity is described.
Gray-scale soft mathematical morphology is the natural extension of binary soft mathematical morphology which has been proved to be less sensitive to additive noise and to small variations. But gray-scale soft morphol...
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Gray-scale soft mathematical morphology is the natural extension of binary soft mathematical morphology which has been proved to be less sensitive to additive noise and to small variations. But gray-scale soft morphological operations are difficult to implement in real time. In this paper, a superposition property called threshold decomposition and another property called stacking are introduced and have been found to apply successfully to gray-scale soft morphology operations. These properties allow the gray-scale signals and structuring elements to be decomposed into their binary sets, respectively operated by only logic gates in new VLSI architecture, and then these binary results are combined to produce the desired output as the time-consuming gray-scale processing. The threshold decomposition algorithm for gray-scale soft morphological erosion is developed and presented. The theorems developed may significantly improve speed as well as give new theoretical insight into the operations.
In this paper, we propose a robust algorithm to separate Chinese characters from line drawings. This approach is based on the clustering of all feature points in the images. Using our algorithm, all Chinese characters...
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A comparative experimental study of 4 transformations from RGB to IHS colour space (classical, Bajon transformation, HSV, HLS) is presented. Two criteria: the maximal consistency of HS clusters, which represented the ...
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A comparative experimental study of 4 transformations from RGB to IHS colour space (classical, Bajon transformation, HSV, HLS) is presented. Two criteria: the maximal consistency of HS clusters, which represented the colour objects on the HS plane and the minimal time of realization of transformation are considered.
Chinese seal imprint verification by computer is very difficult, but is much needed by the application. An improved method for seal imprint verification based on stroke edge matching combined with image difference ana...
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This paper presents a new method for accurate real time counting of pedestrians using model-based imageprocessing.techniques. In order to minimise computational costs, a specially designed model-specific filter (MSF)...
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This paper presents a new method for accurate real time counting of pedestrians using model-based imageprocessing.techniques. In order to minimise computational costs, a specially designed model-specific filter (MSF) is used during the image search phase to obtain the best initial estimate position for the model matching process. It is planned to port the algorithm to a TMS320C50 imageprocessing.platform to facilitate a real time working system.
A new algorithm for high quality gray-level image compression is proposed. The proposed algorithm embeds in the standard framework of biorthogonal Wavelet Transform a model of the Human Visual System, thereby enhancin...
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A new algorithm for high quality gray-level image compression is proposed. The proposed algorithm embeds in the standard framework of biorthogonal Wavelet Transform a model of the Human Visual System, thereby enhancing the quality of the reconstructed image.
In this paper a technique for eradicating the problem of lip synchronization has been discussed. When motion in an image sequence is large, the present day videophone systems are unable to maintain synchronization of ...
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In this paper a technique for eradicating the problem of lip synchronization has been discussed. When motion in an image sequence is large, the present day videophone systems are unable to maintain synchronization of the lips and the corresponding acoustic signal. By exploiting the correlation found between the speech and image data, the problem of lip synchronization is addressed and the mouth and speech signals may be transmitted in the same packet.
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